Barbara Mara Klinkhammer

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 27

Top Topics

Classifier Training

Automatically Generate

Ordinal Classification

Top Venues

Bildverarbeitung für die Medizin

Publications

Philipp Gräbel, Martina Crysandt, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
Ordinal Classification and Regression Techniques for Distinguishing Neutrophilic Cell Maturity Stages in Human Bone Marrow. ICPRAI (2) (2022)
Philipp Gräbel, Julian Thull, Martina Crysandt, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
Analysis of automatically generated embedding guides for cell classification. IPTA (2022)
Philipp Gräbel, Julian Thull, Martina Crysandt, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
Spatial Maturity Regression for the Classification of Hematopoietic Cells. IPTA (2022)
Philipp Gräbel, Julian Thull, Martina Crysandt, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
Automatic Embedding Interventions for the Classification of Hematopoietic Cells. ICPR (2022)
Philipp Gräbel, Ina Laube, Martina Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
Rotation Invariance for Unsupervised Cell Representation Learning - Analysis of The Impact of Enforcing Rotation Invariance or Equivariance on Representation for Cell Classification. Bildverarbeitung für die Medizin (2021)
Philipp Gräbel, Martina Crysandt, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
Guided Representation Learning for the Classification of Hematopoietic Cells. ICCVW (2021)
Philipp Gräbel, Ina Laube, Martina Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
Surrounding Cell Suppression For Unsupervised Representation Learning In Hematological Cell Classification. ISBI (2021)
Nassim Bouteldja, Barbara Mara Klinkhammer, Tarek Schlaich, Peter Boor, Dorit Merhof
Improving Unsupervised Stain-To-Stain Translation using Self-Supervision and Meta-Learning. CoRR (2021)
Philipp Gräbel, Martina Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
Reduction of Stain Variability in Bone Marrow Microscopy Images - Influence of Augmentation and Normalization Methods on Detection and Classification of Hematopoietic Cells. Bildverarbeitung für die Medizin (2021)
Philipp Gräbel, Özcan Özkan, Martina Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
Circular Anchors for the Detection of Hematopoietic Cells Using Retinanet. ISBI (2020)
Philipp Gräbel, Gregor Nickel, Martina Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
Systematic Analysis And Automated Search Of Hyper-Parameters For Cell Classifier Training. ISBI Workshops (2020)
Michael Gadermayr, Laxmi Gupta, Vitus Appel, Peter Boor, Barbara Mara Klinkhammer, Dorit Merhof
Generative Adversarial Networks for Facilitating Stain-Independent Supervised and Unsupervised Segmentation: A Study on Kidney Histology. IEEE Trans. Medical Imaging 38 (10) (2019)
Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof, Michael Gadermayr
Iterative learning to make the most of unlabeled and quickly obtained labeled data in histology. MIDL (2019)
Michael Gadermayr, Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof
Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations. MIDL (2019)
Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof, Michael Gadermayr
GAN-Based Image Enrichment in Digital Pathology Boosts Segmentation Accuracy. MICCAI (1) (2019)
Michael Gadermayr, Ann-Kathrin Dombrowski, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof
CNN cascades for segmenting sparse objects in gigapixel whole slide images. Comput. Medical Imaging Graph. 71 (2019)
Michael Gadermayr, Barbara Mara Klinkhammer, Peter Boor
Virtually Redying Histological Images with Generative Adversarial Networks to Facilitate Unsupervised Segmentation: A Proof-of-Concept Study. ECDP (2019)
Michael Gadermayr, Vitus Appel, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof
Which Way Round? A Study on the Performance of Stain-Translation for Segmenting Arbitrarily Dyed Histological Images. MICCAI (2) (2018)
Michael Gadermayr, Dennis Eschweiler, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof
Gradual Domain Adaptation for Segmenting Whole Slide Images Showing Pathological Variability. ICISP (2018)
Michael Gadermayr, Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof
Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations. CoRR (2018)
Philipp Gräbel, Martina Crysandt, Reinhild Herwartz, Melanie Hoffmann, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
Evaluating Out-of-the-Box Methods for the Classification of Hematopoietic Cells in Images of Stained Bone Marrow. COMPAY/OMIA@MICCAI (2018)
Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof, Michael Gadermayr
Stain independent segmentation of whole slide images: A case study in renal histology. ISBI (2018)
Michael Gadermayr, Dennis Eschweiler, Abiramjee Jeevanesan, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof
Segmenting renal whole slide images virtually without training data. Comput. Biol. Medicine 90 (2017)
Michael Gadermayr, Ann-Kathrin Dombrowski, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof
CNN Cascades for Segmenting Whole Slide Images of the Kidney. CoRR (2017)
Michael Gadermayr, Sean Steven Cooper, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof
A Quantitative Assessment of Image Normalization for Classifying Histopathological Tissue of the Kidney. GCPR (2017)
Michael Gadermayr, Martin Strauch, Barbara Mara Klinkhammer, Sonja Djudjaj, Peter Boor, Dorit Merhof
Domain Adaptive Classification for Compensating Variability in Histopathological Whole Slide Images. ICIAR (2016)
Michael Gadermayr, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof
Do We Need Large Annotated Training Data for Detection Applications in Biomedical Imaging? A Case Study in Renal Glomeruli Detection. MLMI@MICCAI (2016)